如何使用 config() 中的 post_hook 参数在特定 DBT 模型的末尾运行 python 脚本？

Question

I would like to be able to run a python script only at the end of a specific DBT model. My idea is to use post_hook parameter from config() function of that specific model.

Is there a way to do this?

Answer 1

You cannot do this today. dbt does not provide a Python runtime.

Depending on how you deploy dbt, you could use fal for this (either open source or cloud): https://fal.ai/ , or another (heavier) orchestrator, like Airflow, Dagster, or Prefect.

You should also know that there is an active Discussion about External Nodes and/or executable exposures that would solve for this use case: https://github.com/dbt-labs/dbt-core/discussions/5073

dbt is also planning to release Python-language models in the near future, but that is unlikely to solve this use case; that Python will be executed in your Warehouse environment, and may or may not be able to make arbitrary web requests (eg, Snowpark is really just dataframe-python that gets transpiled to SQL)